1955 search results - page 230 / 391 » Online Multitask Learning |
159
Voted
COLT
2010
Springer
15 years 1 months ago
2010
Springer
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
110
Voted
ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
— In this paper, we lay the groundwork for extending our previously developed ASyMTRe architecture to enable constructivist learning for multi-robot team tasks. The ASyMTRe archi...
132
Voted
IWANN
1999
Springer
15 years 8 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
137
Voted
STOC
2005
ACM
16 years 3 months ago
2005
ACM
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
111
Voted
ISCA
2006
IEEE
15 years 9 months ago
2006
IEEE
The key to high performance in Simultaneous Multithreaded (SMT) processors lies in optimizing the distribution of shared resources to active threads. Existing resource distributio...